{"id":17429,"date":"2020-09-09T11:00:33","date_gmt":"2020-09-09T11:00:33","guid":{"rendered":"https:\/\/www.inspirenignite.com\/mh\/ec-35-a-image-processing-syllabus-for-el-6th-sem-2017-dbatu-elective-vii\/"},"modified":"2020-09-09T11:00:33","modified_gmt":"2020-09-09T11:00:33","slug":"ec-35-a-image-processing-syllabus-for-el-6th-sem-2017-dbatu-elective-vii","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/mh\/ec-35-a-image-processing-syllabus-for-el-6th-sem-2017-dbatu-elective-vii\/","title":{"rendered":"EC 35 A: Image Processing Syllabus for EL 6th Sem 2017 DBATU (Elective-VII)"},"content":{"rendered":"

Image Processing detailed syllabus scheme for Electronics Engineering (EL), 2017 onwards has been taken from the DBATU<\/a> official website and presented for the Bachelor of Technology students. For Subject Code, Course Title, Lecutres, Tutorials, Practice, Credits, and other information, do visit full semester subjects post given below. <\/p>\n

For 6th Sem Scheme of Electronics Engineering (EL), 2017 Onwards, do visit EL 6th Sem Scheme, 2017 Onwards<\/a>. For the Elective-VII scheme of 6th Sem 2017 onwards, refer to EL 6th Sem Elective-VII Scheme 2017 Onwards<\/a>. The detail syllabus for image processing is as follows.<\/p>\n

Image Processing Syllabus for Electronics Engineering (EL) 3rd Year 6th Sem 2017 DBATU<\/h2>\n

Image Processing<\/title><\/p>\n<h4>Course Objectives:<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.<\/b><br \/><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>. <\/p>\n<h4>Course Outcomes:<\/h4>\n<p> After successfully completing the course students will be able to<\/p>\n<ol>\n<li>Develop and implement algorithms for digital image processing.<\/li>\n<li>Apply image processing algorithms for practical object recognition applications.<\/li>\n<\/ol>\n<h4>Unit 1<\/h4>\n<p> <strong>Fundamentals of Image Processing<\/strong><br \/>\n Steps in image processing, Human Visual System, Sampling and quantization, Representing digital images, Spatial and gray-level resolution, Image file formats, Basic relationships between pixels, Distance Measures. Basic operations on images-image addition, subtraction, logical operations, scaling, translation, rotation. Image Histogram. Color fundamentals and models – RGB, HSI YIQ.<\/p>\n<h4>Unit 2<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.<\/b><br \/><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>. <\/p>\n<h4>Unit 3<\/h4>\n<p> <strong>Image Compression<\/strong><br \/>\n Types of redundancy, Fidelity criteria, Lossless compression – Runlength coding, Huffman coding, Bit-plane coding, Arithmetic coding. Introduction to DCT, Wavelet transform. Lossy compression – DCT based compression, Wavelet based compression. Image and Video Compression Standards – JPEG, MPEG.<\/p>\n<h4>Unit 4<\/h4>\n<p> <strong>Image Segmentation and Morphological Operations<\/strong><br \/>\n Image Segmentation: Point Detections, Line detection, Edge Detection-First order derivative -Prewitt and Sobel. Second order derivative – LoG, DoG, Canny. Edge linking, Hough Transform, Thresholding – Global, Adaptive. Otsus Method. Region Growing, Region Splitting and Merging. Morphological Operations: Dilation, Erosion, Opening, Closing, Hit-or-Miss transform, Boundary Detection, Thinning, Thickening, Skeleton.<\/p>\n<h4>Unit 5<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.<\/b><br \/><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>. <\/p>\n<h4>Unit 6<\/h4>\n<p> <strong>Object Recognition and Applications<\/strong><br \/>\n Feature extraction, Patterns and Pattern Classes, Representation of Pattern classes, Types of classification algorithms, Minimum distance classifier, Correlation based classifier, Bayes classifier. Applications: Biometric Authentication, Character Recognition, Content based Image Retrieval, Remote Sensing, Medical application of Image processing.<\/p>\n<h4>Reference\/Text Book:<\/h4>\n<ol>\n<li>Rafael C. Gonzalez and Richard E. Woods, Digital Image Processing, Third Edition, -Pearson Education.<\/li>\n<li>S Sridhar, Digital Image Processing, Oxford University Press.<\/li>\n<li>Rafael C. Gonzalez, Richard E. Woods, and Steven L. Eddins, Digital Image Processing Using MATLAB, Second Edition, – Tata McGraw Hill Publication.<\/li>\n<li>S Jayaraman, S Esakkirajan, T Veerakumar, Digital Image Processing, Tata Mc Graw Hill Publication.<\/li>\n<\/ol>\n<p align=\"justify\">For detail syllabus of all subjects of Electronics Engineering (EL) 6th Sem 2017 onwards, visit <a href=\"..\/category\/dbatu\/6th-sem-dbatu\">EL 6th Sem Subjects <\/a>of 2017 Onwards.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Image Processing detailed syllabus scheme for Electronics Engineering (EL), 2017 onwards has been taken from the DBATU official website and presented for the Bachelor of Technology students. For Subject Code, […]<\/p>\n","protected":false},"author":2351,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"categories":[107],"tags":[],"class_list":["post-17429","post","type-post","status-publish","format-standard","hentry","category-el-dbatu"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/posts\/17429","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/users\/2351"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/comments?post=17429"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/posts\/17429\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/media?parent=17429"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/categories?post=17429"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/tags?post=17429"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}